A groundbreaking solution for demanding use cases

We at BRESSNER Technology and our parent company, One Stop Systems Inc. (OSS), are proud to offer high-performance solutions that assist our customers in tackling the most demanding computational tasks. For this reason, we are excited to introduce to you the NVIDIA® H100 Tensor Core Graphics Processor, an incredibly powerful graphics processor that delivers exceptional performance for a variety of use cases.

The H100 is based on the state-of-the-art NVIDIA® Hopper GPU architecture, making it the top choice for applications requiring lightning-fast data processing. With fourth-generation Tensor Cores, the H100 provides up to 5x faster AI training and up to 30x faster AI inferences for large language models compared to the previous A100 generation. Thus, it is one of the most advanced graphics processors on the market and the perfect complement to our PCIe expansion and GPU servers.

In this blog post, we will delve into the architecture and hierarchy of the H100 and highlight some of the exciting use cases for which this graphics processor is particularly suited. Whether you are working with complex AI models or require high-performance computing for research purposes, the H100 GPU is a groundbreaking solution that enables you to achieve your goals faster and more efficiently than ever before.

The H100 GPU hierarchy and architecture

The rapid advancements in GPU computing architecture have led to a significant development in NVIDIA's latest H100 GPU hierarchy. While the CUDA programming model relied on grids and thread blocks for years to achieve program locality, the conventional thread block approach has become inadequate with the growing complexity of programs and the emergence of GPUs with over 100 streaming multiprocessors (SMs).

To address this issue, NVIDIA® has introduced an innovative Thread Block Cluster architecture with the H100 GPU. This architecture provides a higher level of control over locality and enables greater granularity than a single thread block on a single SM. With Thread Block Clusters, the CUDA programming model has been elevated to a new level by adding threads, thread blocks, thread block clusters, and grids to the physical programming hierarchy of the graphics processor.

What exactly is a Thread Block Cluster? Simplified, it is a collection of thread blocks scheduled simultaneously across a group of SMs. This new architecture aims to facilitate effective thread collaboration across multiple SMs, leading to improved performance and higher execution efficiency.

The NVIDIA® H100 graphics processor boasts numerous innovations that make it a powerhouse for applications in AI Transportables and High-Performance Computing (HPC). Based on the new Hopper GPU architecture, the H100 is equipped with innovative features that make it more powerful, efficient, and flexible than any other GPU before. One of the key innovations of the H100 is its fourth-generation Tensor Cores, which perform matrix calculations faster and more efficiently than ever before. As a result, the H100 can effortlessly handle a broader range of AI and HPC tasks, making it the ideal choice for our customers who demand maximum performance from their graphics processor.

Use cases for the H100-GPU

The NVIDIA® H100 has been designed for high-performance computing and is suitable for a wide range of use cases. Some of the most common use cases for the H100 include:

• Deep Learning: Thanks to its powerful Tensor Cores, the NVIDIA® H100 is an ideal solution for deep learning applications. The graphics processor can process huge datasets and perform complex calculations required for training deep neural networks.
• High-Performance Computing: Due to its high memory bandwidth and powerful processing capabilities, the H100 is also suitable for high-performance computing tasks such as scientific simulations, weather forecasting, and financial modeling.
• AI Inference: The NVIDIA® H100 can also be used for AI inference workloads, such as image and speech recognition. The graphics processor's powerful Tensor Cores enable fast processing of large amounts of data, making it an excellent choice for real-time inference applications.
• Computer Vision: Additionally, the H100 can be used for computer vision applications such as object detection and image segmentation. The graphics processor's Tensor Cores enable fast processing of large amounts of image data.
• Computational Biology: The H100 is also suitable for computational biology applications such as genome sequencing and protein folding simulations. The graphics processor's powerful DPX command processing capabilities and high memory bandwidth make it particularly well-suited for these types of applications.

Setting New Standards with NVIDIA® H100

The H100 is a high-end graphics processor with numerous innovations that make it the ideal choice for our customers' applications. With its advanced architecture and fourth-generation Tensor Cores, the H100 is one of the most powerful, programmable, and energy-efficient graphics processors, allowing users and applications to fully utilize all compute units of their H100 GPUs at all times.

We believe that the H100 is an excellent choice for businesses requiring high-performance computing capabilities. Its processing power and memory bandwidth make it ideal for handling the most demanding workloads, and its ability to deliver lightning-fast AI training and inference accelerations for large language models makes it a groundbreaking solution for businesses working with complex AI models.